Name
Abstract | ||
|---|---|---|
One of the main challenges in systems biology is the establishment of the metabolome: a catalogue of the metabolites and bio-chemical reactions present in a specific organism. Current knowledge of biochemical pathways as stored in public databases such as KEGG, is based on carefully curated genomic evidence for the presence of specific metabolites and enzymes that activate particular biochemical reactions. In this paper, we present an efficient method to build a substantial portion of the artificial chemistry defined by the metabolites and biochemical reactions in a given metabolic pathway, which is based on bidirectional chemical search. Computational results on the pathways stored in KEGG reveal novel biochemical pathways. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75140-3_15 | CMSB |
Keywords | Field | DocType |
computational result,bio-chemical reaction,bidirectional chemical search,particular biochemical reaction,novel biochemical pathway,metabolic pathway,biochemical pathway,artificial chemistry,specific metabolites,specific organism,biochemical reaction,enzyme,system biology | Metabolome,Enzyme,Biology,Artificial chemistry,Metabolic pathway,Metabolic network,Systems biology,KEGG,Theoretical computer science,Bioinformatics,Computational biology,Organism | Conference |
Volume | ISSN | ISBN |
4695 | 0302-9743 | 3-540-75139-4 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liliana Félix | 1 | 4 | 1.14 |
| Francesc Rosselló | 2 | 244 | 29.09 |
| Gabriel Valiente | 3 | 742 | 63.30 |